Data XLat is a research and development initiative that creates and adapts data science technologies and procedures in order to acquire, manage and visualize big data. By creating an integrated Latin American database, the initiative seeks to empower our teams, our clients and the public sector.

R&D Focus Areas

Acquisition

The conversation about data in developing countries should shift from questioning its existence to talking about creating data mining strategies and technologies that identify actionable data and facilitate its acquisition. At GA we are focusing on automated data mining strategies that interact seamlessly with our internal database.

Management

We want to support and motivate the open data initiatives in Latin America, through the DataXLat initiative we are creating the physical and hardware capacity within GeoAdaptive to be able to host data internally so that we can become a centralized source of data for anyone working in the Latin American region.

Visualization

The DataXLat initiative seeks to create a public facing web presence that strives to use its integrated, regional Latin America database to formulate insightful data-driven snapshots of thematic issues in the region that are easily shareable across platforms.

Engagement

Every part of our initiative from acquisition, management and visualization is influenced by the idea by our effort should shed greater clarity on the issues of pressing concern in Latin America. DataxLat sits at the nexus between data and storytelling in order to empower and facilitate the ability of GeoAdaptive and the public to tell better stories.

The necessity to create long-lasting objectives addressing inequality is emphasized throughout the 2030 Agenda for Sustainable Development, known as Sustainable Development Goals (SDGs). This implies that income growth is not the only important measure for this goal. The roles of infrastructure, wage, social protection policies, and opportunities are noted as key contributors to this goal of increased equality. By measuring and quantifying inequality in GeoAdaptive, we understand how well programs or policies promote social justice and how these strategies might be supported by accessibility to infrastructure to reduce inequality and improve social development.